Sanu Shameer

521 total citations
8 papers, 337 citations indexed

About

Sanu Shameer is a scholar working on Molecular Biology, Plant Science and Biomedical Engineering. According to data from OpenAlex, Sanu Shameer has authored 8 papers receiving a total of 337 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Plant Science and 2 papers in Biomedical Engineering. Recurrent topics in Sanu Shameer's work include Microbial Metabolic Engineering and Bioproduction (6 papers), Photosynthetic Processes and Mechanisms (4 papers) and Plant nutrient uptake and metabolism (2 papers). Sanu Shameer is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (6 papers), Photosynthetic Processes and Mechanisms (4 papers) and Plant nutrient uptake and metabolism (2 papers). Sanu Shameer collaborates with scholars based in United Kingdom, Germany and India. Sanu Shameer's co-authors include Lee Sweetlove, R. George Ratcliffe, C. Y. Maurice Cheung, Kambiz Baghalian, Nadine Töpfer, Muxin Gu, Michael Buckley, Andrew Chamberlain, José G. Vallarino and Alisdair R. Fernie and has published in prestigious journals such as The Plant Cell, PLANT PHYSIOLOGY and New Phytologist.

In The Last Decade

Sanu Shameer

8 papers receiving 334 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Sanu Shameer United Kingdom	7	219	156	39	32	28	8	337
Jon P. Rebman United States	10	77 0.4×	172 1.1×	13 0.3×	196 6.1×	13 0.5×	47	345
Inês C. R. Barbosa Germany	15	807 3.7×	1.0k 6.6×	12 0.3×	20 0.6×	9 0.3×	16	1.2k
Naomi J. Brown United Kingdom	8	539 2.5×	391 2.5×	11 0.3×	103 3.2×	7 0.3×	8	662
Aimé Nato France	12	248 1.1×	243 1.6×	14 0.4×	32 1.0×	5 0.2×	32	383
Aude Perdereau France	8	91 0.4×	100 0.6×	14 0.4×	31 1.0×	3 0.1×	13	198
Ana M. Cialdella Argentina	11	90 0.4×	125 0.8×	12 0.3×	239 7.5×	8 0.3×	28	390
Gustavo Turqueto Duarte Belgium	15	290 1.3×	448 2.9×	10 0.3×	55 1.7×	4 0.1×	26	629
Ronald Viane Belgium	15	262 1.2×	394 2.5×	13 0.3×	283 8.8×	8 0.3×	34	640
C. Y. Shih United States	14	204 0.9×	264 1.7×	13 0.3×	57 1.8×	13 0.5×	20	435

Countries citing papers authored by Sanu Shameer

Since Specialization

Citations

This map shows the geographic impact of Sanu Shameer's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Sanu Shameer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sanu Shameer more than expected).

Fields of papers citing papers by Sanu Shameer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sanu Shameer. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Sanu Shameer. The network helps show where Sanu Shameer may publish in the future.

Co-authorship network of co-authors of Sanu Shameer

This figure shows the co-authorship network connecting the top 25 collaborators of Sanu Shameer. A scholar is included among the top collaborators of Sanu Shameer based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sanu Shameer. Sanu Shameer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

Cheung, C. Y. Maurice, et al.. (2024). Metabolic modeling reveals distinct roles of sugars and carboxylic acids in stomatal opening as well as unexpected carbon fluxes. The Plant Cell. 37(1). 7 indexed citations

Shameer, Sanu, et al.. (2024). Metabolic modelling identifies mitochondrial Pi uptake and pyruvate efflux as key aspects of daytime metabolism and proton homeostasis in crassulacean acid metabolism leaves. New Phytologist. 244(1). 159–175. 4 indexed citations

Shameer, Sanu, et al.. (2021). A hybrid kinetic and constraint‐based model of leaf metabolism allows predictions of metabolic fluxes in different environments. The Plant Journal. 109(1). 295–313. 18 indexed citations

Töpfer, Nadine, et al.. (2020). Alternative Crassulacean Acid Metabolism Modes Provide Environment-Specific Water-Saving Benefits in a Leaf Metabolic Model. The Plant Cell. 32(12). 3689–3705. 53 indexed citations

Shameer, Sanu, José G. Vallarino, Alisdair R. Fernie, R. George Ratcliffe, & Lee Sweetlove. (2020). Flux balance analysis of metabolism during growth by osmotic cell expansion and its application to tomato fruits. The Plant Journal. 103(1). 68–82. 34 indexed citations

Shameer, Sanu, R. George Ratcliffe, & Lee Sweetlove. (2019). Leaf Energy Balance Requires Mitochondrial Respiration and Export of Chloroplast NADPH in the Light. PLANT PHYSIOLOGY. 180(4). 1947–1961. 83 indexed citations

Shameer, Sanu, Kambiz Baghalian, C. Y. Maurice Cheung, R. George Ratcliffe, & Lee Sweetlove. (2018). Computational analysis of the productivity potential of CAM. Nature Plants. 4(3). 165–171. 83 indexed citations

Buckley, Michael, et al.. (2016). High‐throughput collagen fingerprinting of intact microfaunal remains; a low‐cost method for distinguishing between murine rodent bones. Rapid Communications in Mass Spectrometry. 30(7). 805–812. 55 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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